Instruction: Outline a comprehensive framework for assessing and comparing the effectiveness of different NLP models in a standardized manner.
Context: Candidates must demonstrate their understanding of NLP model evaluation metrics and the ability to create a robust testing framework.
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I would build the framework around task fit, robustness, efficiency, and deployment relevance. That means defining the primary metrics for the task, a shared test set, important slices or cohorts, latency and cost constraints, and a failure taxonomy...